Typology of ROII Patterns on Cluster Analysis in Korean Enterprises
Safety and Health at Work
; : 278-286, 2012.
Article
in En
| WPRIM
| ID: wpr-140215
Responsible library:
WPRO
ABSTRACT
OBJECTIVES:
Authors investigated the pattern of the rate of occupational injuries and illnesses (ROII) at the level of enterprises in order to build a network for exchange of experience and knowledge, which would contribute to workers' safety and health through safety climate of workplace.METHODS:
Occupational accidents were analyzed at the manufacturing work site unit. A two step clustering process for the past patterns regarding the ROII from 2001 to 2009 was investigated. The ROII patterns were categorized based on regression analysis and the patterns were further divided according to the subtle changes with Mahalanobis distance and Ward's linkage.RESULTS:
The first clustering of ROII through regression analysis showed 5 different functions; 29 work sites of the linear function, 50 sites of the quadratic function, 95 sites of the logarithm function, 62 sites of the exponential function, and 54 sites of the sine function. Fourteen clusters were created in the second clustering. There were 3 clusters in each function categorized in the first clustering except for sine function. Each cluster consisted of the work sites with similar ROII patterns, which had unique characteristics.CONCLUSION:
The five different patterns of ROII suggest that tailored management activities should be applied to every work site. Based on these differences, the authors selected exemplary work sites and built a network to help the work sites to share information on safety climate and accident prevention measures. The causes of different patterns of ROII, building network and evaluation of this management model should be evaluated as future researches.Key words
Full text:
1
Database:
WPRIM
Main subject:
Accidents, Occupational
/
Cluster Analysis
/
Climate
/
Workplace
/
Occupational Injuries
/
Accident Prevention
Type of study:
Prognostic_studies
Language:
En
Journal:
Safety and Health at Work
Year:
2012
Document type:
Article